Algebra: Solving Linear Equations & Systems
Single-variable equations, systems of two and three equations, and matrix methods.
Algebra: Solving Linear Equations & Systems β Quick Overview
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Solving Linear Equations and Systems
Single Variable Linear Equations
General form: ax + b = c
Solving: x = (c - b) / a
Example: 3x + 7 = 22 β 3x = 15 β x = 5
Two-Variable Systems
Substitution Method
- Solve one equation for one variable
- Substitute into the other equation
- Solve, then back-substitute
Elimination Method
- Multiply equations to match coefficients
- Add/subtract to eliminate one variable
- Solve for remaining variable
Example:
2x + 3y = 12 ...(1)
4x - y = 2 ...(2)
Multiply (2) by 3: 12x - 3y = 6 ...(3)
Add (1) + (3): 14x = 18 β x = 9/7
Substitute back: y = (12 - 2Γ9/7)/3 = (12 - 18/7)/3 = 22/7
Three-Variable Systems
3 equations, 3 unknowns. Use elimination to reduce to 2Γ2, then solve.
Matrix Method (Cramer's Rule / Gaussian Elimination)
System [A]{x} = {b}
Gaussian Elimination steps:
- Write augmented matrix [A|b]
- Use row operations to get upper triangular form
- Back-substitute to find unknowns
Cramer's Rule (2Γ2): For ax + by = e, cx + dy = f:
- D = ad - bc
- x = (ed - bf)/D
- y = (af - ec)/D
Engineering Application
Systems of equations appear everywhere in engineering:
- Truss analysis (method of joints)
- Electrical circuits (Kirchhoff's laws)
- Equilibrium of structures
- Fluid network balancing
Summary
Mastering linear systems β substitution, elimination, matrices β is non-negotiable for engineering. Practice until you can solve 3Γ3 systems efficiently.
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